Overview

Dataset statistics

Number of variables7
Number of observations239
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.1 KiB
Average record size in memory60.6 B

Variable types

Numeric4
Categorical2
Text1

Dataset

Description강원도 인제군 축산농가 현황 데이터를 제공합니다. 번호, 사육두수, 주소, 위도, 경도 정보를 제공합니다. 데이터와 관련된 문의는 인제군 농업기술센터 유통축산과로 해주시기 바랍니다.
Author강원도 인제군
URLhttps://www.data.go.kr/data/15093339/fileData.do

Alerts

종류 has constant value ""Constant
데이터기준일 has constant value ""Constant
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:31:10.628937
Analysis finished2023-12-12 06:31:12.864602
Duration2.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct239
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120
Minimum1
Maximum239
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T15:31:12.972039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.9
Q160.5
median120
Q3179.5
95-th percentile227.1
Maximum239
Range238
Interquartile range (IQR)119

Descriptive statistics

Standard deviation69.137544
Coefficient of variation (CV)0.5761462
Kurtosis-1.2
Mean120
Median Absolute Deviation (MAD)60
Skewness0
Sum28680
Variance4780
MonotonicityStrictly increasing
2023-12-12T15:31:13.146241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
2 1
 
0.4%
153 1
 
0.4%
154 1
 
0.4%
155 1
 
0.4%
156 1
 
0.4%
157 1
 
0.4%
158 1
 
0.4%
159 1
 
0.4%
160 1
 
0.4%
Other values (229) 229
95.8%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
239 1
0.4%
238 1
0.4%
237 1
0.4%
236 1
0.4%
235 1
0.4%
234 1
0.4%
233 1
0.4%
232 1
0.4%
231 1
0.4%
230 1
0.4%

종류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
한우
239 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한우
2nd row한우
3rd row한우
4th row한우
5th row한우

Common Values

ValueCountFrequency (%)
한우 239
100.0%

Length

2023-12-12T15:31:13.325235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:31:13.748727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한우 239
100.0%

사육두수
Real number (ℝ)

Distinct82
Distinct (%)34.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.824268
Minimum1
Maximum265
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T15:31:13.889813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median16
Q340.5
95-th percentile119
Maximum265
Range264
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation41.161632
Coefficient of variation (CV)1.2934039
Kurtosis9.0356302
Mean31.824268
Median Absolute Deviation (MAD)13
Skewness2.6676715
Sum7606
Variance1694.2799
MonotonicityNot monotonic
2023-12-12T15:31:14.115610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 21
 
8.8%
4 13
 
5.4%
3 12
 
5.0%
6 8
 
3.3%
5 8
 
3.3%
16 8
 
3.3%
9 8
 
3.3%
8 7
 
2.9%
15 7
 
2.9%
12 7
 
2.9%
Other values (72) 140
58.6%
ValueCountFrequency (%)
1 2
 
0.8%
2 21
8.8%
3 12
5.0%
4 13
5.4%
5 8
 
3.3%
6 8
 
3.3%
7 6
 
2.5%
8 7
 
2.9%
9 8
 
3.3%
10 5
 
2.1%
ValueCountFrequency (%)
265 1
0.4%
253 1
0.4%
190 1
0.4%
179 1
0.4%
169 1
0.4%
162 1
0.4%
147 1
0.4%
146 1
0.4%
124 1
0.4%
122 1
0.4%

소재지(도로명)
Text

Distinct214
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-12T15:31:14.619330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length20.648536
Min length15

Characters and Unicode

Total characters4935
Distinct characters122
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique189 ?
Unique (%)79.1%

Sample

1st row강원도 인제군 기린면 방동리 1069-7
2nd row강원도 인제군 기린면 방동리 1069-7
3rd row강원도 인제군 기린면 둔덕동길 12-26
4th row강원도 인제군 기린면 아래둔덕길 15-30
5th row강원도 인제군 기린면 아래둔덕길 15-30
ValueCountFrequency (%)
강원도 239
20.1%
인제군 239
20.1%
인제읍 58
 
4.9%
북면 50
 
4.2%
남면 44
 
3.7%
기린면 37
 
3.1%
상남면 26
 
2.2%
서화면 24
 
2.0%
설악로 15
 
1.3%
한석산로 13
 
1.1%
Other values (284) 447
37.5%
2023-12-12T15:31:15.272485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
971
19.7%
인 297
 
6.0%
제 297
 
6.0%
강 253
 
5.1%
원 252
 
5.1%
도 247
 
5.0%
군 239
 
4.8%
면 181
 
3.7%
1 177
 
3.6%
2 128
 
2.6%
Other values (112) 1893
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2948
59.7%
Space Separator 971
 
19.7%
Decimal Number 905
 
18.3%
Dash Punctuation 111
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 297
 
10.1%
제 297
 
10.1%
강 253
 
8.6%
원 252
 
8.5%
도 247
 
8.4%
군 239
 
8.1%
면 181
 
6.1%
로 109
 
3.7%
길 91
 
3.1%
남 88
 
3.0%
Other values (100) 894
30.3%
Decimal Number
ValueCountFrequency (%)
1 177
19.6%
2 128
14.1%
3 115
12.7%
4 84
9.3%
5 78
8.6%
9 72
8.0%
0 72
8.0%
7 67
 
7.4%
8 65
 
7.2%
6 47
 
5.2%
Space Separator
ValueCountFrequency (%)
971
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 111
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2948
59.7%
Common 1987
40.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 297
 
10.1%
제 297
 
10.1%
강 253
 
8.6%
원 252
 
8.5%
도 247
 
8.4%
군 239
 
8.1%
면 181
 
6.1%
로 109
 
3.7%
길 91
 
3.1%
남 88
 
3.0%
Other values (100) 894
30.3%
Common
ValueCountFrequency (%)
971
48.9%
1 177
 
8.9%
2 128
 
6.4%
3 115
 
5.8%
- 111
 
5.6%
4 84
 
4.2%
5 78
 
3.9%
9 72
 
3.6%
0 72
 
3.6%
7 67
 
3.4%
Other values (2) 112
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2948
59.7%
ASCII 1987
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
971
48.9%
1 177
 
8.9%
2 128
 
6.4%
3 115
 
5.8%
- 111
 
5.6%
4 84
 
4.2%
5 78
 
3.9%
9 72
 
3.6%
0 72
 
3.6%
7 67
 
3.4%
Other values (2) 112
 
5.6%
Hangul
ValueCountFrequency (%)
인 297
 
10.1%
제 297
 
10.1%
강 253
 
8.6%
원 252
 
8.5%
도 247
 
8.4%
군 239
 
8.1%
면 181
 
6.1%
로 109
 
3.7%
길 91
 
3.1%
남 88
 
3.0%
Other values (100) 894
30.3%

위도
Real number (ℝ)

Distinct212
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.046817
Minimum37.833072
Maximum38.261275
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T15:31:15.447359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.833072
5-th percentile37.868432
Q137.955902
median38.032961
Q338.131511
95-th percentile38.222652
Maximum38.261275
Range0.428203
Interquartile range (IQR)0.1756095

Descriptive statistics

Standard deviation0.10814877
Coefficient of variation (CV)0.0028425182
Kurtosis-0.92384477
Mean38.046817
Median Absolute Deviation (MAD)0.086254
Skewness0.082376618
Sum9093.1893
Variance0.011696157
MonotonicityNot monotonic
2023-12-12T15:31:15.590875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.953522 2
 
0.8%
38.097116 2
 
0.8%
37.934551 2
 
0.8%
38.033728 2
 
0.8%
37.980037 2
 
0.8%
38.016197 2
 
0.8%
38.027913 2
 
0.8%
38.030084 2
 
0.8%
38.121788 2
 
0.8%
37.946707 2
 
0.8%
Other values (202) 219
91.6%
ValueCountFrequency (%)
37.833072 1
0.4%
37.844739 1
0.4%
37.846766 1
0.4%
37.846993 1
0.4%
37.854706 1
0.4%
37.855191 1
0.4%
37.855405 1
0.4%
37.856262 1
0.4%
37.858281 1
0.4%
37.858643 1
0.4%
ValueCountFrequency (%)
38.261275 1
0.4%
38.260919 1
0.4%
38.260133 1
0.4%
38.255641 1
0.4%
38.253152 2
0.8%
38.247846 1
0.4%
38.246962 1
0.4%
38.241396 1
0.4%
38.233109 2
0.8%
38.229365 1
0.4%

경도
Real number (ℝ)

Distinct212
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.22186
Minimum128.01276
Maximum128.45289
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T15:31:15.764837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.01276
5-th percentile128.06723
Q1128.18696
median128.2064
Q3128.28393
95-th percentile128.36675
Maximum128.45289
Range0.440129
Interquartile range (IQR)0.0969765

Descriptive statistics

Standard deviation0.086713312
Coefficient of variation (CV)0.00067627556
Kurtosis-0.26653687
Mean128.22186
Median Absolute Deviation (MAD)0.047506
Skewness-0.057125625
Sum30645.025
Variance0.0075191985
MonotonicityNot monotonic
2023-12-12T15:31:15.975660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.337663 2
 
0.8%
128.186666 2
 
0.8%
128.309935 2
 
0.8%
128.346974 2
 
0.8%
128.084107 2
 
0.8%
128.369188 2
 
0.8%
128.389143 2
 
0.8%
128.069901 2
 
0.8%
128.175285 2
 
0.8%
128.068009 2
 
0.8%
Other values (202) 219
91.6%
ValueCountFrequency (%)
128.012758 1
0.4%
128.054864 1
0.4%
128.054934 1
0.4%
128.056704 1
0.4%
128.058054 1
0.4%
128.062151 1
0.4%
128.062463 1
0.4%
128.063111 1
0.4%
128.063698 1
0.4%
128.064635 1
0.4%
ValueCountFrequency (%)
128.452887 1
0.4%
128.398711 1
0.4%
128.395552 1
0.4%
128.389143 2
0.8%
128.386604 1
0.4%
128.385642 1
0.4%
128.383909 1
0.4%
128.383553 1
0.4%
128.372616 1
0.4%
128.369188 2
0.8%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2022-10-24
239 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-10-24
2nd row2022-10-24
3rd row2022-10-24
4th row2022-10-24
5th row2022-10-24

Common Values

ValueCountFrequency (%)
2022-10-24 239
100.0%

Length

2023-12-12T15:31:16.150619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:31:16.251665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-10-24 239
100.0%

Interactions

2023-12-12T15:31:12.171225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:31:10.877640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:31:11.283519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:31:11.728492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:31:12.266098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:31:10.987334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:31:11.392838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:31:11.827195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:31:12.368851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:31:11.087002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:31:11.508718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:31:11.956440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:31:12.455935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:31:11.191109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:31:11.620368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:31:12.059978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:31:16.321849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호사육두수위도경도
번호1.0000.2110.9110.888
사육두수0.2111.0000.1440.269
위도0.9110.1441.0000.828
경도0.8880.2690.8281.000
2023-12-12T15:31:16.427867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호사육두수위도경도
번호1.000-0.0010.340-0.089
사육두수-0.0011.0000.145-0.175
위도0.3400.1451.000-0.153
경도-0.089-0.175-0.1531.000

Missing values

2023-12-12T15:31:12.600043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:31:12.799392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

번호종류사육두수소재지(도로명)위도경도데이터기준일
01한우17강원도 인제군 기린면 방동리 1069-737.953522128.3376632022-10-24
12한우4강원도 인제군 기린면 방동리 1069-737.953522128.3376632022-10-24
23한우54강원도 인제군 기린면 둔덕동길 12-2637.955682128.3664772022-10-24
34한우22강원도 인제군 기린면 아래둔덕길 15-3037.956121128.3654662022-10-24
45한우6강원도 인제군 기린면 아래둔덕길 15-3037.956121128.3654662022-10-24
56한우4강원도 인제군 기린면 방태산길 1337.948184128.3839092022-10-24
67한우2강원도 인제군 기린면 방동리 244-1337.941325128.3835532022-10-24
78한우7강원도 인제군 기린면 오류동길 2537.951399128.3503672022-10-24
89한우11강원도 인제군 기린면 오류동길 25-2037.950851128.3521952022-10-24
910한우5강원도 인제군 기린면 오류동길 25-2037.950851128.3521952022-10-24
번호종류사육두수소재지(도로명)위도경도데이터기준일
229230한우5강원도 인제군 인제읍 자작나무숲길 109338.002059128.2297162022-10-24
230231한우2강원도 인제군 인제읍 내린천로 5488-1938.010722128.2594082022-10-24
231232한우101강원도 인제군 인제읍 이평로 13038.102018128.1869562022-10-24
232233한우15강원도 인제군 인제읍 이평로 13038.102018128.1869562022-10-24
233234한우6강원도 인제군 인제읍 설악로 2377-138.087739128.1806962022-10-24
234235한우50강원도 인제군 인제읍 설악로 2377-138.087739128.1806962022-10-24
235236한우15강원도 인제군 인제읍 설악로 235338.085267128.1815682022-10-24
236237한우4강원도 인제군 인제읍 합강리 226-338.074534128.1894982022-10-24
237238한우37강원도 인제군 인제읍 광치령로 56-5038.108502128.2018552022-10-24
238239한우4강원도 인제군 인제읍 광치령로 56-5038.108502128.2018552022-10-24